Lead Machine Learning / Data Science Engineer

CapTech Consulting • $120K — $150K *

Atlanta, GA 30349In-Person

Information Technology

5 - 7 years of experience

More than 3 months ago

Job Overview by Ladders

Qualifications

7+ years of experience delivering data engineering and machine learning solutions on cloud platforms.
Bachelor's degree or equivalent combination of education and experience.
Experience providing technical leadership and mentoring other engineers in the data engineering space.
Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
Experience with LLMs (e.g., GPT, Claude) in a production setting and knowledge of agentic AI architectures.

Responsibilities

Strategize with clients and cross-functional teams to implement machine learning solutions.
Provide technical leadership and ensure solutions align with customer needs.
Deconstruct client needs into data-driven processes and models.
Analyze and transform large datasets hosted on enterprise-level data platforms.
Design and deploy advanced analytical solutions leveraging client data.
Productionize ML systems focusing on optimization and scalability.
Grow CapTech's Machine Learning and Data Science practices through presentations and mentoring.

Benefits

Flexible work environment to promote work-life balance.
Learning & Development programs with certification and tuition support.
Access to a mental health and well-being platform through Modern Health.
Inclusive fertility and family-forming coverage via Carrot Fertility.
Company paid stipend program for personalized lifestyle benefits through Fringe.
Opportunities to engage in partnerships and pro-bono projects for community support.
Generous 401(k) matching with no vesting period.

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Full Job Description

Job Description

CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.

Specific responsibilities for the Lead Machine Learning Engineer position include:

Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
Deconstructing client needs into data-driven processes/models and analytical measures.
Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications

7+ years of experience delivering data engineering and machine learning solutions on cloud platforms
Bachelor's degree or equivalent combination of education and experience.
Experience providing technical leadership and mentoring other engineers in data engineering space
Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
Proficiency with containerization (e.g., Docker) and microservices.
Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
Knowledge of DevOps and automation best practices.
Knowledge of statistics and statistical modeling methods.
Knowledge of model management and model versioning best practices.
Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
Experience with prompt engineering, MCP and RAG, and agentic AI architectures
Strong understanding of conversational UX and prompt evaluation metrics
Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
Experience with multi-agent orchestration

Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.

CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

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About CapTech Consulting

CapTech is a national IT management consulting firm that partners with some of the world's most successful companies to achieve their strategic and operational objectives. CapTech's services include management consulting, digital transformation, technology strategy, data and analytics, custom application development, and IT transformation. The company was founded in 1997 and is headquartered in Richmond, Virginia. CapTech has offices in several cities across the United States, including Atlanta, Boston, Charlotte, Chicago, Columbus, Denver, Houston, Los Angeles, New York, Philadelphia, and Washington, D.C.

Learn more about CapTech Consulting

Size

1,000 employees

Industry

Information Technology

Founded

1997

* Ladders Estimates

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